Triple
T18012657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amblypygi |
E430919
|
entity |
| Predicate | legspanRange |
P130113
|
FINISHED |
| Object | up to about 25 centimetres in some species |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: up to about 25 centimetres in some species | Statement: [Amblypygi, legspanRange, up to about 25 centimetres in some species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legspanRange Context triple: [Amblypygi, legspanRange, up to about 25 centimetres in some species]
-
A.
hornSpanRange
Indicates the range of distances between the tips of an entity’s horns.
-
B.
wingSpanVariant
Indicates a relationship where one wing span measurement is a variant or alternative form of another wing span measurement.
-
C.
shoulderHeightRange
Indicates the range of vertical height measured from the ground to an entity’s shoulders.
-
D.
tierRange
Indicates that one entity specifies the minimum and maximum tier levels within which another entity falls or is applicable.
-
E.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b520ea088190b74903f1e1ba49e2 |
completed | April 19, 2026, 10:57 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.